Although synthetic data is a powerful tool, it can only reduce artificial intelligence hallucinations under specific ...

A time series database management system (DBMS) efficiently handles large volumes of time-stamped data from sensors and ...

Prior Labs secures $9.3 million in 'preseed' funding to build foundation models for handling this common, but complex data ...

Humans have been on an elusive quest to understand consciousness forever. Ironically our artificial assets may take us closer ...

Software engineers have been hard at work to establish a common language for a global conversation. The topic—revealing the ...

Data contracts define the interface between data providers and consumers, specifying things like data models, quality guarantees, and ownership. They are essential for distributed data ownership in ...

Aerospike is unveiling the latest iteration of its flagship multi-model distributed database ... It wasn't until relational theory came along that the concept of using data values as identifiers arose ...

It's cheap to copy already built models from their outputs, but likely still expensive to train new models that push the ...

This is a guest post for the Computer Weekly Developer Network written by Anand Kannappan, CEO and founder of model ...

Sharing data sets for training AI large language models (LLMs) is a particularly powerful and yet sensitive issue. Imagine ...

Stanford and University of Washington researchers devised a technique to create a new AI model dubbed "s1." They have already open-sourced it on GitHub, along with ...

At the core of the proposed CasRel framework is the fresh perspective that instead of treating relations as discrete labels on entity pairs, we actually model the relations ... Under this framework, ...